Meat, Other — Stock Variation by country

A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...

Countries reporting
94
Highest
37 1000 t
China, mainland
Lowest
-31 1000 t
Mongolia
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,939

What the numbers show

Meat, Other — Stock Variation is currently reported for 94 countries. The highest value is 37 1000 t in China, mainland; the lowest is -31 1000 t in Mongolia.

The median across all reporting countries is 0 1000 t, and the mean is 0.3298 1000 t.

Over the past decade 16 countries rose and 26 fell. The largest increase was in Afghanistan (up 100.0%), and the largest decrease in Mongolia (down 3,200.0%).

Meat, Other — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 China, mainland 37 1000 t 2023 down 54.9% volatile
2 China 36 1000 t 2023 down 56.1% volatile
3 Saudi Arabia 8 1000 t 2023 — volatile
4 Ethiopia 3 1000 t 2023 down 75.0% volatile
5 Belgium 2 1000 t 2023 — volatile
5 Ireland 2 1000 t 2023 — volatile
7 Germany 1 1000 t 2023 — volatile
7 France 1 1000 t 2023 — flat
7 Kyrgyzstan 1 1000 t 2023 — volatile
7 Oman 1 1000 t 2023 down 50.0% volatile
7 Thailand 1 1000 t 2023 — volatile
12 Afghanistan 0 1000 t 2023 up 100.0% volatile
12 Angola 0 1000 t 2023 — volatile
12 Australia 0 1000 t 2023 — volatile
12 Austria 0 1000 t 2023 — flat
12 Burkina Faso 0 1000 t 2023 down 100.0% volatile
12 Bulgaria 0 1000 t 2023 up 100.0% volatile
12 Belarus 0 1000 t 2023 — volatile
12 Brazil 0 1000 t 2023 — volatile
12 Switzerland 0 1000 t 2023 — volatile
12 Chile 0 1000 t 2023 — volatile
12 Cote d'Ivoire 0 1000 t 2023 down 100.0% volatile
12 Cameroon 0 1000 t 2023 — volatile
12 Congo 0 1000 t 2023 up 100.0% volatile
12 Colombia 0 1000 t 2023 — volatile
12 Czechia 0 1000 t 2023 — volatile
12 Denmark 0 1000 t 2023 — volatile
12 Algeria 0 1000 t 2023 — volatile
12 Egypt 0 1000 t 2023 down 100.0% volatile
12 Spain 0 1000 t 2023 — volatile
12 Finland 0 1000 t 2023 down 100.0% volatile
12 United Kingdom 0 1000 t 2023 — volatile
12 Ghana 0 1000 t 2023 up 100.0% flat
12 Guinea 0 1000 t 2023 — volatile
12 Greece 0 1000 t 2023 — volatile
12 Croatia 0 1000 t 2023 — volatile
12 Haiti 0 1000 t 2023 — volatile
12 Hungary 0 1000 t 2023 — flat
12 Indonesia 0 1000 t 2023 down 100.0% volatile
12 Italy 0 1000 t 2023 up 100.0% volatile
12 Kazakhstan 0 1000 t 2023 down 100.0% volatile
12 Kenya 0 1000 t 2023 down 100.0% flat
12 Kuwait 0 1000 t 2023 up 100.0% volatile
12 Liberia 0 1000 t 2023 — volatile
12 Lithuania 0 1000 t 2023 up 100.0% volatile
12 Morocco 0 1000 t 2023 — volatile
12 Mexico 0 1000 t 2023 down 100.0% volatile
12 Malta 0 1000 t 2023 up 100.0% volatile
12 Mauritania 0 1000 t 2023 up 100.0% volatile
12 New Caledonia 0 1000 t 2023 — volatile
12 Niger 0 1000 t 2023 up 100.0% volatile
12 Nigeria 0 1000 t 2023 up 100.0% volatile
12 Norway 0 1000 t 2023 down 100.0% volatile
12 New Zealand 0 1000 t 2023 down 100.0% volatile
12 Peru 0 1000 t 2023 — volatile
12 Philippines 0 1000 t 2023 down 100.0% flat
12 Poland 0 1000 t 2023 down 100.0% volatile
12 Portugal 0 1000 t 2023 — flat
12 Qatar 0 1000 t 2023 — volatile
12 Romania 0 1000 t 2023 down 100.0% volatile
12 Russia 0 1000 t 2023 — volatile
12 Rwanda 0 1000 t 2023 down 100.0% volatile
12 Senegal 0 1000 t 2023 down 100.0% volatile
12 Sierra Leone 0 1000 t 2023 up 100.0% volatile
12 Slovakia 0 1000 t 2023 — volatile
12 Sweden 0 1000 t 2023 — volatile
12 Syria 0 1000 t 2023 — volatile
12 Ukraine 0 1000 t 2023 — volatile
12 Uruguay 0 1000 t 2023 up 100.0% volatile
12 United States 0 1000 t 2023 — volatile
12 Uzbekistan 0 1000 t 2023 down 100.0% volatile
12 South Africa 0 1000 t 2023 — volatile
12 Zambia 0 1000 t 2023 — volatile
12 Zimbabwe 0 1000 t 2023 up 100.0% volatile
12 Melanesia 0 1000 t 2023 — volatile
12 Democratic Republic of the Congo 0 1000 t 2023 — volatile
12 Caribbean 0 1000 t 2023 — volatile
12 China, Hong Kong SAR 0 1000 t 2023 — volatile
12 Iran (Islamic Republic of) 0 1000 t 2023 down 100.0% volatile
12 Republic of Korea 0 1000 t 2023 down 100.0% flat
12 Russian Federation 0 1000 t 2023 — volatile
12 Syrian Arab Republic 0 1000 t 2023 — volatile
12 Australia and New Zealand 0 1000 t 2023 down 100.0% volatile
12 Côte d'Ivoire 0 1000 t 2023 down 100.0% volatile
12 United Republic of Tanzania 0 1000 t 2023 down 100.0% volatile
12 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 — volatile
181 Argentina -1 1000 t 2023 — volatile
181 Botswana -1 1000 t 2023 — volatile
181 Netherlands (Kingdom of the) -1 1000 t 2023 — volatile
184 United Arab Emirates -2 1000 t 2023 up 66.7% volatile
185 Canada -3 1000 t 2023 — volatile
185 Democratic People's Republic of Korea -3 1000 t 2018 up 81.2% volatile
187 Cuba -20 1000 t 2019 — volatile
188 Mongolia -31 1000 t 2023 down 3,200.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Meat, Other — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/meat-other-stock-variation/

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About this data

Indicator
Meat, Other — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
218 places, 2,939 data points, 2010–2023
Last refreshed

A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.